some_deep_learning_refs.md

• vedio
  • https://space.bilibili.com/1567748478/channel/seriesdetail?sid=358497
  • https://www.bilibili.com/video/BV1Y7411d7Ys/?p=1&vd_source=99b233cc6188faa67165f9ff3e0b29c5
• github
  • https://github.com/yandexdataschool/nlp_course
  • https://github.com/fengdu78/deeplearning_ai_books
  • https://github.com/fengdu78/Coursera-ML-AndrewNg-Notes
  • https://github.com/sindresorhus/awesome
  • https://github.com/keon/awesome-nlp
  • https://github.com/d2l-ai/d2l-zh
  • https://github.com/d2l-ai/d2l-en
  • https://github.com/d2l-ai/berkeley-stat-157/tree/master/slides-zh
• open-source book
  • https://nndl.github.io/
  • https://zh.d2l.ai/index.html
  • https://tangshusen.me/Dive-into-DL-PyTorch/#/
  • https://www.huaxiaozhuan.com/
  • http://www.ai-start.com/dl2017/
  • https://datawhalechina.github.io/learn-nlp-with-transformers/#/
  • https://nlp.seas.harvard.edu/annotated-transformer/